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Does Python interpreter load all the file to RAM when it is opened for writing?
with open('file.txt' 'w') as file:
file.write(some_content)
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No. As per the docs, open() wraps a system call and returns a file object, the file contents are not loaded into RAM (unless you invoke, E.G., readlines()).
The read() function is designed to be called once, and it returns the entire contents of the file.
Working with Python Memory Profiler You can use it by putting the @profile decorator around any function or method and running python -m memory_profiler myscript. You'll see line-by-line memory usage once your script exits.
Those numbers can easily fit in a 64-bit integer, so one would hope Python would store those million integers in no more than ~8MB: a million 8-byte objects. In fact, Python uses more like 35MB of RAM to store these numbers. Why? Because Python integers are objects, and objects have a lot of memory overhead.
No. As per the docs, open() wraps a system call and returns a file object, the file contents are not loaded into RAM (unless you invoke, E.G., readlines()).
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